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Observer Design of Discrete-Time Fuzzy Systems Based on an Alterable Weights Method
IEEE Transactions on Cybernetics ( IF 11.8 ) Pub Date : 2020-04-01 , DOI: 10.1109/tcyb.2018.2878419
Xiangpeng Xie , Dong Yue , Chen Peng

This paper proposes an improvement on observer design of discrete-time fuzzy systems based on an alterable weights method. Different from the recent result, a more effective ranking-based switching mechanism is developed by introducing a bank of alterable weights for the sake of making use of the size difference information of the normalized fuzzy weighting functions more freely than before. Therefore, a positive result can be provided in this paper, that is, less conservative conditions of designing feasible fuzzy observers can be obtained than those existing results, while the computational cost of designing feasible fuzzy observers is even less than the up-to-date one. Finally, two numerical examples are given to show the progressiveness of the proposed method.

中文翻译:

基于变权法的离散模糊系统的观测器设计。

本文提出了一种基于可变权重法的离散时间模糊系统观测器设计的改进方法。与最近的结果不同,为了引入比以往更自由地利用归一化模糊加权函数的大小差信息的目的,通过引入可变权重库,开发了一种更有效的基于排名的切换机制。因此,本文可以提供积极的结果,即与现有的结果相比,可获得的设计可行的模糊观测器的条件要保守一些,而设计可行的模糊观测器的计算成本甚至比最新的要低。一。最后,给出了两个数值例子,说明了该方法的有效性。
更新日期:2020-04-01
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